At a Glance
- Tasks: Design and develop data-driven solutions using advanced analytics and machine learning techniques.
- Company: Join Leidos, a leader in technology and innovation with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible working, and a generous leave package.
- Other info: Be part of a diverse team committed to making the world safer and more efficient.
- Why this job: Make a real impact on government programmes while growing your data science skills.
- Qualifications: Experience in data science and proficiency in Python and ML libraries required.
The predicted salary is between 47600 - 61000 £ per year.
Location: Bristol / Hybrid, with occasional travel to customer and Leidos sites
Clearance: Applicants must have (or be able to obtain) UK SC clearance
We’re ready for you to unleash your potential!
Role Overview: We are seeking a Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‑learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK. You will collaborate with delivery managers, engineers and architect stakeholders to design, develop, and operationalise data‑driven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise, contribute to high‑value projects, and help shape the analytical capability within one of the strongest teams in the business.
Your Responsibilities Will Include:
- Designing, developing, and validating statistical models and machine‑learning solutions
- Conducting exploratory data analysis and feature engineering to uncover insights and support decision‑making
- Working closely with data engineers to ensure high‑quality, scalable data pipelines for modelling
- Translating analytical findings into clear, actionable recommendations for technical and non‑technical audiences
- Supporting the development of analytical roadmaps, risk identification, and mitigation planning
- Contributing to the operationalisation and monitoring of models in production environments
Required Skills:
- Experience in data science, machine learning, or applied analytics
- Proficiency in Python and common ML libraries (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch)
- Experience designing, training, and evaluating machine‑learning models
- Solid understanding of statistical methods, predictive modelling, and experimental design
- Experience working in an agile delivery environment
- Strong problem‑solving skills and attention to detail
Desired Skills:
- Ability to communicate analytical concepts clearly to non‑technical stakeholders
- Experience working with large or complex datasets, including data cleansing and feature engineering
- Experience with cloud‑based ML services (AWS SageMaker, Azure ML, Databricks)
- Familiarity with MLOps practices and model lifecycle management
- Experience with NLP, deep learning, or computer vision
- Knowledge of data visualisation tools (Power BI, Tableau)
- Exposure to big‑data technologies (Spark, Hadoop)
- AWS certifications
- Experience supporting government or highly regulated environments
Clearance Requirements:
- Clearance to Start BPSS
- Clearance for Role SC
- Applicants must have (or be able to obtain) SC clearance
Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.
What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent.
Our reward scheme includes:
- Contributory Pension Scheme
- Private Medical Insurance
- 33 days Annual Leave (including public and privilege holidays)
- Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)
- Flexible Working Scheme
Who We Are: Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.
What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Data Scientist employer: Leidos
Leidos UK is an exceptional employer that fosters a culture of collaboration, innovation, and diversity, making it an ideal place for Data Scientists to thrive. With a strong commitment to employee growth, we offer extensive career development opportunities, flexible working arrangements, and a comprehensive benefits package that includes a contributory pension scheme and private medical insurance. Located in Bristol, our hybrid work model allows you to balance your professional and personal life while contributing to impactful projects that safeguard critical capabilities across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data science questions and showcasing your projects. Make sure you can explain your thought process clearly, especially when discussing complex topics like machine learning or statistical models.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company, understand their projects, and be ready to discuss how your skills can specifically help them achieve their goals.
✨Tip Number 4
Keep an eye on our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a better chance of being noticed by our hiring team!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills. We want to see how you can contribute to our team!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used statistical methods or machine learning techniques in past projects. This helps us understand your practical experience and problem-solving abilities.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your analytical findings and how they can impact decision-making. Remember, we value communication skills, especially when translating complex concepts for non-technical audiences.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Leidos
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around statistical methods and machine learning techniques. Be ready to discuss your experience with Python and libraries like pandas and scikit-learn, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data problems in the past. Think about the challenges you faced, the solutions you implemented, and the impact they had. This will demonstrate your analytical thinking and problem-solving abilities.
✨Communicate Clearly
Since you'll be translating analytical findings for both technical and non-technical audiences, practice explaining your work in simple terms. Use relatable examples to illustrate your points, ensuring that everyone can grasp the insights you're sharing.
✨Familiarise Yourself with Agile Practices
As this role involves working in an agile environment, it’s beneficial to understand agile methodologies. Be prepared to discuss how you've worked in such settings before and how you adapt to changing requirements while delivering high-quality results.
